F. Lamarche
- Cognitive Neuroscience top 1%
- Human-Computer Interaction top 1%
- Signal Processing top 1%
- Water Science and Technology top 2%
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- Proteins in Food Systems 19
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- Membrane-based Ion Separation Techniques 19
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- Microbial Inactivation Methods 14
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- Logic, programming, and type systems 13
- Logic, Reasoning, and Knowledge 11
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- Particle Detector Development and Performance 10
- High-Energy Particle Collisions Research 9
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- Advanced Algebra and Logic 9
- Co-authors
- Fabien LotteBruno ArnaldiA. LécuyerMarco CongedoDenis IppersielMartin MondorLaurent BazinetL. Masse
In The Last Decade
F. Lamarche
95 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Cognitive Neuroscience 1.7k
- Human-Computer Interaction 336
- Signal Processing 475
- Water Science and Technology 550
- Cellular and Molecular Neuroscience 668
Countries citing papers authored by F. Lamarche
This map shows the geographic impact of F. Lamarche's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by F. Lamarche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Lamarche more than expected).
Fields of papers citing papers by F. Lamarche
This network shows the impact of papers produced by F. Lamarche. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by F. Lamarche. The network helps show where F. Lamarche may publish in the future.
Co-authorship network
The 25 scholars most cited alongside F. Lamarche, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 17 | |
| 2 | 2016 | 40 | |
| 3 | 2013 | 1 | |
| 4 | 2012 | 4 | |
| 5 | 2011 | 95 | |
| 6 | 2007 | 138 | |
| 7 | A review of classification algorithms for EEG-based brain–computer interfacesbreakdown → | 2007 | 1830 |
| 8 | 2004 | 36 | |
| 9 | On the Algebra of Structural Contexts | 2003 | 9 |
| 10 | 2000 | 9 | |
| 11 | 1999 | 3 | |
| 12 | 1998 | 5 | |
| 13 | Logical Aspects of Computational Linguistics - selected papers from LACl'97 | 1997 | 1 |
| 14 | Electroacidification of soybean proteins for production of isolate | 1997 | 26 |
| 15 | 1994 | 10 | |
| 16 | 1994 | 2 | |
| 17 | 1994 | 4 | |
| 18 | 1993 | 1 | |
| 19 | 1992 | 2 | |
| 20 | 1989 | 5 |
About F. Lamarche
F. Lamarche is a scholar working on Biotechnology, Physiology and Food Science, having authored 99 papers that have together received 4.0k indexed citations. Recurring topics across this work include Proteins in Food Systems (19 papers), Membrane-based Ion Separation Techniques (19 papers), Microbial Inactivation Methods (14 papers), Logic, programming, and type systems (13 papers), Logic, Reasoning, and Knowledge (11 papers), Particle Detector Development and Performance (10 papers), High-Energy Particle Collisions Research (9 papers) and Advanced Algebra and Logic (9 papers). The work is most often cited by research in Cognitive Neuroscience (1.7k citations), Human-Computer Interaction (336 citations) and Signal Processing (475 citations). F. Lamarche has collaborated with scholars based in Canada, France and Italy. Frequent co-authors include Fabien Lotte, Bruno Arnaldi, A. Lécuyer, Marco Congedo, Denis Ippersiel, Martin Mondor, Laurent Bazinet, L. Masse, Jean Amiot and Joseph Makhlouf. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Innovative Food Science & Emerging Technologies, Journal of Membrane Science and Physics Letters B.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.